Publications
Publications are in reversed chronological order. For a full list, please refer to Google Scholar
2025
2024
- NeurIPS 2024
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological ImagesarXiv preprint, 2024 - AISY
Motion Enhanced Multi-Level Tracker (MEMTrack): A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast EnvironmentsAdvanced Intelligent Systems, 2024
2023
- arXiv
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic SegmentationarXiv preprint arXiv:2308.11052, 2023 - KDD
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural NetworksIn Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023 - CVPR CV4Animals Workshop
Detecting and Tracking Hard-to-Detect Bacteria in Dense Porous BackgroundsIn CVPR Workshop on CV4Animals 2023, 2023 - arXiv
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationarXiv preprint arXiv:2305.15562, 2023
2022
- IEEE BigData
Multi-task Learning for Source Attribution and Field Reconstruction for Methane MonitoringIn 2022 IEEE International Conference on Big Data (Big Data), 2022 - TIST
CoPhy-PGNN: Learning physics-guided neural networks with competing loss functions for solving eigenvalue problemsACM Transactions on Intelligent Systems and Technology, 2022 - Book Chapter
Physics-Guided Neural Networks (PGNN): An Application in Lake Temperature ModelingIn Knowledge Guided Machine Learning, 2022 - Methods in Ecology and Evolution
Hierarchy-guided Neural Networks for Species ClassificationMethods in Ecology and Evolution, 2022
2021
- NeurIPS
Learning compact representations of neural networks using discriminative masking (DAM)Advances in Neural Information Processing Systems, 2021 - ITSC
A graph convolutional neural network based approach for traffic monitoring using augmented detections with optical flowIn 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021 - KDD
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with PhysicsIn Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
2020
- Big Data
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate SystemsBig Data, 2020PMID: 33090021 - arXiv
Gcnnmatch: Graph convolutional neural networks for multi-object tracking via sinkhorn normalizationarXiv preprint arXiv:2010.00067, 2020 - SDM
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature ModelingIn Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
2019
- SDM
Physics-guided design and learning of neural networks for predicting drag force on particle suspensions in moving fluidsarXiv preprint arXiv:1911.04240, 2019
